Automation of pedestrian tracking in a crowded situation using an angled uncalibrated camera
Date of Award
Master of Science in Computer Science
Information Systems & Computer Science
Studies on pedestrians using microscopic simulation requires large amounts of trajectory data from real-world pedestrian crowds. The collection of such data, if done manually, involves tremendous effort and is very time-consuming. Although many studies ha
(2011). Automation of pedestrian tracking in a crowded situation using an angled uncalibrated camera. Ateneo de Manila University.